REGULATING ARTIFICIAL INTELLIGENCE IN CORPORATE GOVERNANCE: A COMPARATIVE OVERVIEW OF THE UNITED STATES, THE EUROPEAN UNION, AND UZBEKISTAN
DOI:
https://doi.org/10.55640/Keywords:
artificial intelligence; corporate governance; comparative law; EU AI Act; NIST AI Risk Management Framework; Uzbekistan AI Strategy 2030; algorithmic accountability; board oversight; risk-based regulation.Abstract
Artificial intelligence is reshaping corporate decision-making, internal control, and disclosure practices across every major economy. Yet the legal frameworks that govern how companies deploy AI in their governance structures diverge sharply between jurisdictions. This article offers a concise comparative overview of three contrasting approaches. The United States has produced a layered and decentralized regime built on voluntary federal standards, sectoral securities regulation, and competing state statutes, recently overlaid by an executive-branch push for federal preemption. The European Union has adopted a horizontal and risk-based regulation in the AI Act of 2024, supplemented by the General Data Protection Regulation and the November 2025 Digital Omnibus simplification package. Uzbekistan has moved rapidly from strategic planning under Presidential Resolution PP-358 of October 2024 to a comprehensive AI law approved by the Senate in November 2025, but a number of corporate-governance gaps remain. After mapping each regime, the article distills six general recommendations for Uzbek reform, focused on risk classification, board-level oversight, disclosure, developer-deployer liability, institutional capacity, and international alignment.
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References
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